{"id":"W4386917281","doi":"10.1038/s43856-023-00354-1","title":"Membrane procoagulation and N‑terminomics/TAILS profiling in Montreal platelet syndrome kindred with VWF p.V1316M mutation","year":2023,"lang":"en","type":"article","venue":"Communications Medicine","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Island Health; University of British Columbia; Libin Cardiovascular Institute of Alberta; Alberta Bone and Joint Health Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary; Alberta Innovates; Cumming School of Medicine, University of Calgary; Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Platelet; Von Willebrand factor; Mutation; Profiling (computer programming); Chemistry; Medicine; Molecular biology; Internal medicine; Biology; Biochemistry; Gene; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002367909,0.0001602991,0.0003998875,0.0003988302,0.0001396521,0.00001172599,0.0001476455,0.00008308232,0.00001514043],"category_scores_gemma":[0.00009115088,0.0001275795,0.00001930032,0.0006667242,0.0002159306,0.000138439,0.00007310845,0.0001989929,0.00002902859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006206282,"about_ca_system_score_gemma":0.00008345631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005072337,"about_ca_topic_score_gemma":0.0008889148,"domain_scores_codex":[0.9989547,0.00005505464,0.0003464202,0.0002434017,0.0001818336,0.0002186426],"domain_scores_gemma":[0.9988004,0.000178031,0.0001190261,0.0007244418,0.00007681463,0.0001012781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003275172,0.004436175,0.6178983,0.002177838,0.001677588,0.01233532,0.03742155,0.001092615,0.02034027,0.006249546,0.001406986,0.2916886],"study_design_scores_gemma":[0.01997257,0.001640063,0.9322705,0.001505147,0.0003484402,0.002663496,0.003693165,0.03451037,0.000900422,0.001387752,0.0006908131,0.0004172158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886799,0.0004475966,0.00003443681,0.006864289,0.0000275803,0.001191358,0.000007663816,0.0001189254,0.00262828],"genre_scores_gemma":[0.9960466,0.0008249275,0.001287566,0.000104636,0.00001670098,0.0002038995,0.001204347,0.00002559489,0.000285753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3143722,"threshold_uncertainty_score":0.5202542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03830657653852307,"score_gpt":0.3054802682659725,"score_spread":0.2671736917274494,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}